Anvilogic

Anvilogic is an Agentic SecOps platform founded in 2019 by former SOC practitioners. It runs AI automation across the security operations lifecycle — onboarding, federated search, detection engineering, and triage & investigation — on top of the SIEMs, data lakes, and storage services a security team already operates, without requiring data migration. An AI Operating System coordinates task-scoped agents over an enterprise security graph, and Blueprints chains those agents into repeatable, human-approved workflows. The platform integrates with Splunk, Snowflake, Databricks, Microsoft Sentinel, Elastic, CrowdStrike, Amazon S3, and dozens of EDR, SOAR, and workflow tools. Anvilogic exposes an OAuth 2.1 protected Model Context Protocol (MCP) server so agents and customer-configured MCP connectors can call platform tools directly.

Anvilogic publishes 2 APIs on the APIs.io network. Tagged areas include Company, Security, Cybersecurity, Security Operations, and Detection Engineering.

Anvilogic’s developer surface includes documentation, getting-started guide, engineering blog, signup flow, pricing, support, authentication, and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub
35.9/100 thin ▬ flat Agent 23/100 agent aware Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
2 APIs 1 MCP Servers
CompanySecurityCybersecuritySecurity OperationsDetection EngineeringSIEMThreat DetectionArtificial IntelligenceAgentsModel Context ProtocolData Lake

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 35.9/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 10.9 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 2.7 / 13
Governance 1.5 / 12
Discoverability 8.7 / 10
Agent readiness — 23/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 4 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/anvilogic: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Anvilogic MCP Server

The Anvilogic MCP Server is the platform's Model Context Protocol surface, letting AI agents and MCP clients call Anvilogic platform tools against a customer's security graph, d...

Anvilogic Platform Authorization API

The OAuth 2.1 authorization surface for the Anvilogic platform, advertised at the RFC 8414 /.well-known/oauth-authorization-server document on secure.anvilogic.com. It supports ...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

anvilogic-mcp.yml

MCP SERVER

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Anvilogic Authentication

oauth2 · 2 schemes

SECURITY

Anvilogic Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Anvilogic Trust Center

SOC 2, SOC 2 Type 2, ISO 27001, ISO/IEC 27001:2022, Data Privacy Framework, CSA AI Trustworthy Pledge

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp
 Login
Login

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

WellKnown
WellKnown
 MCPServer
MCPServer
 LLMsTxt
LLMsTxt

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conformance
Conformance
 Lifecycle
Lifecycle
 Conventions
Conventions

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages

Access & Security 4

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 Compliance
Compliance
 Authentication
Authentication
 DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support
Support
 StatusPage
StatusPage

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Other 1

Properties that don't map to a standard resource type

SecondaryMarket
SecondaryMarket

Source (apis.yml)

apis.yml Raw ↑ 
aid: anvilogic
name: Anvilogic
description: Anvilogic is an Agentic SecOps platform founded in 2019 by former SOC practitioners. It runs AI automation across
  the security operations lifecycle — onboarding, federated search, detection engineering, and triage & investigation — on
  top of the SIEMs, data lakes, and storage services a security team already operates, without requiring data migration. An
  AI Operating System coordinates task-scoped agents over an enterprise security graph, and Blueprints chains those agents
  into repeatable, human-approved workflows. The platform integrates with Splunk, Snowflake, Databricks, Microsoft Sentinel,
  Elastic, CrowdStrike, Amazon S3, and dozens of EDR, SOAR, and workflow tools. Anvilogic exposes an OAuth 2.1 protected Model
  Context Protocol (MCP) server so agents and customer-configured MCP connectors can call platform tools directly.
image: https://cdn.prod.website-files.com/6a4cfd0a31bb60a376cd1ee9/6a68af2d3deeaa9baf085208_anvilogic-og-1c-1200x630.png
url: https://raw.githubusercontent.com/api-evangelist/anvilogic/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-07-31'
modified: '2026-07-31'
tags:
- Company
- Security
- Cybersecurity
- Security Operations
- Detection Engineering
- SIEM
- Threat Detection
- Artificial Intelligence
- Agents
- Model Context Protocol
- Data Lake
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: anvilogic:mcp
  name: Anvilogic MCP Server
  description: 'The Anvilogic MCP Server is the platform''s Model Context Protocol surface, letting AI agents and MCP clients
    call Anvilogic platform tools against a customer''s security graph, detections, searches, and cases. It is an OAuth 2.1
    protected resource: an unauthenticated tools/list returns HTTP 401 with a WWW-Authenticate Bearer challenge advertising
    the RFC 9728 protected-resource metadata document. Tool calls are metered at 1 AI credit per call and governed by a per-product
    daily budget.'
  humanURL: https://public-docs.anvilogic.com/get-started/ai-operating-system-pricing
  baseURL: https://secure.anvilogic.com/mcp
  tags:
  - Model Context Protocol
  - Agents
  - Security Operations
  properties:
  - type: MCPServer
    url: mcp/anvilogic-mcp.yml
  - type: Authentication
    url: authentication/anvilogic-authentication.yml
  - type: Documentation
    url: https://public-docs.anvilogic.com/get-started/ai-operating-system-pricing
- aid: anvilogic:authorization
  name: Anvilogic Platform Authorization API
  description: The OAuth 2.1 authorization surface for the Anvilogic platform, advertised at the RFC 8414 /.well-known/oauth-authorization-server
    document on secure.anvilogic.com. It supports the authorization_code grant with PKCE (S256) and refresh_token, uses public
    clients (token_endpoint_auth_methods_supported = none), and exposes token and introspection endpoints. It is the authorization
    server backing the Anvilogic MCP Server protected resource.
  humanURL: https://public-docs.anvilogic.com/get-started/onboarding-guide/additional-tasks
  baseURL: https://secure.anvilogic.com/api/authentication/oauth
  tags:
  - OAuth
  - Authentication
  - Security
  properties:
  - type: Authentication
    url: authentication/anvilogic-authentication.yml
  - type: WellKnown
    url: well-known/anvilogic-well-known.yml
common:
- type: Website
  url: https://www.anvilogic.com/
- type: DeveloperPortal
  url: https://public-docs.anvilogic.com/
- type: Documentation
  url: https://public-docs.anvilogic.com/
- type: GettingStarted
  url: https://public-docs.anvilogic.com/get-started/onboarding-guide
- type: Blog
  url: https://www.anvilogic.com/blog
- type: GitHubOrganization
  url: https://github.com/anvilogic-forge
- type: SignUp
  url: https://secure.anvilogic.com/login
- type: Login
  url: https://secure.anvilogic.com/login
- type: Pricing
  url: https://public-docs.anvilogic.com/get-started/ai-operating-system-pricing
- type: TermsOfService
  url: https://www.anvilogic.com/legal/msa
- type: PrivacyPolicy
  url: https://www.anvilogic.com/legal/privacy-policy
- type: Support
  url: https://www.anvilogic.com/demo
- type: StatusPage
  url: https://status.anvilogic.com/
- type: TrustCenter
  url: security/anvilogic-trust-center.yml
- type: Compliance
  url: https://trust.anvilogic.com/
- type: WellKnown
  url: well-known/anvilogic-well-known.yml
- type: MCPServer
  url: mcp/anvilogic-mcp.yml
- type: LLMsTxt
  url: llms/anvilogic-llms.txt
- type: Authentication
  url: authentication/anvilogic-authentication.yml
- type: Packages
  url: packages/anvilogic-packages.yml
- type: Conformance
  url: conformance/anvilogic-conformance.yml
- type: Lifecycle
  url: lifecycle/anvilogic-lifecycle.yml
- type: Conventions
  url: conventions/anvilogic-conventions.yml
- type: DomainSecurity
  url: security/anvilogic-domain-security.yml
- type: SecondaryMarket
  url: https://forgeglobal.com/anvilogic_stock/
x-enrichment:
  date: '2026-07-31'
  status: enriched
  artifacts_added: 13
  pass: local-v1